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Volumn 73, Issue 1-2, 2010, Pages 156-160

Estimation of sour natural gas water content

Author keywords

Artificial neural networks; Natural gas; Water content

Indexed keywords

ARTIFICIAL NEURAL NETWORK; AVERAGE ABSOLUTE ERROR; COMMONLY USED; DATA SETS; EXPERIMENTAL DATA; GENERALIZATION CAPABILITY; INPUT VARIABLES; MOLE FRACTION; SOUR NATURAL GAS;

EID: 77955085509     PISSN: 09204105     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.petrol.2010.05.018     Document Type: Article
Times cited : (12)

References (14)
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  • 5
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    • Water Content of Hydrocarbon - Hydrogen Sulphide Gases, MSc Thesis, Dept. Chem. Eng., University of Alberta, Edmonton, AB
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    • (1963)
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  • 6
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    • Lukacs, J.1    Robinson, D.B.2
  • 8
    • 0344049410 scopus 로고    scopus 로고
    • Mathematical simulation and program for water content chart of natural gas
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    • (2000) Chem. Eng. Oil Gas , vol.29 , pp. 75-77
    • Ning, Y.1    Zhang, H.2    Zhou, G.3
  • 9
    • 0009104606 scopus 로고
    • Predict natural-gas water content with total gas usage
    • Aug. 4
    • Sharma S., Campbell J.M. Predict natural-gas water content with total gas usage. Oil & Gas J. 1969, 136-137. Aug. 4.
    • (1969) Oil & Gas J. , pp. 136-137
    • Sharma, S.1    Campbell, J.M.2
  • 10
    • 0027565594 scopus 로고
    • Chart estimates water content of sour natural gas
    • Wichert G.C., Wichert E. Chart estimates water content of sour natural gas. Oil & Gas J. 1993, 61-64.
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  • 11
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    • Yam, J.1    Chow, T.2
  • 12
    • 21244436760 scopus 로고    scopus 로고
    • A neural network approach for prediction of the CuO-ZnO-Al2O3 catalyst deactivation
    • Article A8
    • Zahedi G., Jahnmiri A., Rahimpor M.R. A neural network approach for prediction of the CuO-ZnO-Al2O3 catalyst deactivation. Int. J. Chem. Reactor Eng. 2005, 3. Article A8.
    • (2005) Int. J. Chem. Reactor Eng. , vol.3
    • Zahedi, G.1    Jahnmiri, A.2    Rahimpor, M.R.3
  • 14
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    • A neural network approach for identification and modeling of delayed cocking plant
    • article A16
    • Zahedi G., Karami Z., Lohi A. A neural network approach for identification and modeling of delayed cocking plant. Int. J. Chem. Reactor Eng. 2009, 7. article A16.
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    • Zahedi, G.1    Karami, Z.2    Lohi, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.